LeNet5.py

# Creating a simple network
class LeNet5(torch.nn.Module):          
     
    def __init__(self):     
        super(LeNet5, self).__init__()
        self.conv1 = torch.nn.Conv2d(1, 6, 5, padding=2)
        self.conv2 = torch.nn.Conv2d(6, 16, 5)
        self.fc1 = nn.Linear(16*5*5, 120)   
        self.fc2 = nn.Linear(120, 84)       
        self.fc3 = nn.Linear(84, 10)    
        
    def forward(self, x):
        x = F.relu(self.conv1(x))  
        x = F.max_pool2d(x, 2) 
        x = F.relu(self.conv2(x))
        x = F.max_pool2d(x, 2)
        x = x.view(-1, 16*5*5)
        x = F.relu(self.fc1(x))
        x = F.relu(self.fc2(x))
        x = self.fc3(x)
        
        return F.log_softmax(x,dim=-1)